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[TUTORIAL] Practical XGBoost in Python online course
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Joseph Misiti 2016-09-05 11:43:53 -04:00 committed by GitHub
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@ -889,7 +889,7 @@ on MNIST digits[DEEP LEARNING]
* [Dive into Machine Learning with Python Jupyter notebook and scikit-learn](https://github.com/hangtwenty/dive-into-machine-learning) - "I learned Python by hacking first, and getting serious *later.* I wanted to do this with Machine Learning. If this is your style, join me in getting a bit ahead of yourself."
* [TDB](https://github.com/ericjang/tdb) - TensorDebugger (TDB) is a visual debugger for deep learning. It features interactive, node-by-node debugging and visualization for TensorFlow.
* [Introduction to machine learning with scikit-learn](https://github.com/justmarkham/scikit-learn-videos) - IPython notebooks from Data School's video tutorials on scikit-learn.
* [Practical XGBoost in Python](http://education.parrotprediction.teachable.com/courses/practical-xgboost-in-python) - comprehensive online course about using XGBoost in Python
<a name="python-neural networks"/>
#### Neural networks